The Machine Learning Scientist 6 role at Netflix focuses on leading technical efforts in Live Ads, specifically in areas such as forecasting, targeting, and yield optimization. The position is part of the Ad Supply & Decisioning team, which aims to enhance ad inventory and member-ad matching. The scientist will work closely with the Live Ads product team to align technical strategies with business goals. This role requires a blend of technical expertise in machine learning and strong collaboration skills to drive impactful solutions.

• Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of industry experience building and shipping production ML systems at scale.
• Deep knowledge of machine learning, optimization, and data analysis techniques.
• Experience in ad optimization stack, including targeting, ranking, and bidding.
• Proficiency in Python, Scala, or Java.

• Define and drive the ML technical roadmap in partnership with the Live Ads product team.
• Collaborate across horizontal pods to architect and deliver ML solutions.
• Design and implement machine learning and optimization algorithms to improve ad quality.
• Build, train, and evaluate models on large-scale production data.
• Develop online and offline evaluation frameworks to measure the impact of model improvements.
• Communicate technical decisions and experiment results to both technical and non-technical stakeholders.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.